lpc_comparator

matlab遗传算法工具箱，包括所有的m文件，还有例子，丰富，实用，扩展性强，欢迎大家下载。(matlab genetic algorithm toolbox, including all m-files, as well as examples of rich, practical, scalable strong, welcome to download.)

Matlab源程序求任意两点间的最短距离(Matlab source code for any of the shortest distance between two points)

EM@matlab是一个有限元工具包，适用于静力和偏微分方程的演变(AFEM@matlab is a MATLAB package of adaptive finite element methods (AFEMs) for stationary and evolution partial differential equations in two spatial dimensions)

几种简单的分形程序代码，使用Matlab运行即可，程序内附有运行说明。(several simple fractal code in Matlab)

algorithm for determining glottal closure instances

ofdm和qam完整仿真程序，并且比较两者，希望大家(ofdm qam and integrity simulation program, and comparing the two, we hope to s)

基本粒子群优化算法Matlab源程序 主要用于对PSO的基本理解与思考 (Particle swarm optimization algorithm Matlab source)

理发店的服务过程仿真 一个理发店有两位服务员A和B顾客随机地到达该理发店,每分钟有一个顾客到达和没有顾客到达的概率均是1/2 , 其中60 的顾客理发仅用5分钟,另外40 的顾客用8分钟 . 试对前10分钟的情况进行仿真。(Service process simulation of a barber shop barber shop attendant A and B, there are two customers arrive at the barber shop randomly, every minute a customer arrives and there is no probability that the customer arrives are 1/2, where only 60 of the customers Barber five minutes, another 40 of customers with 8 minutes. trial for the first 10 minutes of the simulation.)

这是matlab的图像处理学习文件，自己花钱买来的资料，不是网上随便下载的。(This is a learning matlab image processing files, their own money to buy the information, not just downloaded online.)

指数平滑法是对时间序列进行预测常用的方法之一,其理论基础是趋势外延，即未来一定时期内事物在数量上的演变特征不脱离过去的发展趋势,预测值是以前所有观测值的加权和,且对不同的数据给予不同的权数,越近期数据给予越大的权数,越远期的数据给予越小的权数。(Exponential smoothing method is commonly used to predict the time series one of the ways, the theoretical basis of the trend of the extension, that is, a certain period of time what the next evolution in the number of characteristics are not out of the development trend of the past to predict the value of all previous observations is the weighted and, on different data and different weights given to more recent data to give greater weights, the more long-term data to give the smaller weights.)